pandas-dev/pandas · error · ValueError
You must specify at least 4 characters when resetting multip
Error message
You must specify at least 4 characters when resetting multiple keys, use the special keyword "all" to reset all the options to their default value
What it means
Raised by reset_option (config.py:391-396) as a ValueError when the pattern matches multiple keys, is shorter than 4 characters, and is not the reserved 'all'. This guard prevents accidentally resetting a huge swath of options via an overly short prefix like 'di'.
Source
Thrown at pandas/_config/config.py:392
set_option : Set the value of the specified option or options.
describe_option : Print the description for one or more registered options.
Notes
-----
For all available options, please view the
:ref:`User Guide <options.available>`.
Examples
--------
>>> pd.reset_option("display.max_columns") # doctest: +SKIP
"""
keys = _select_options(pat)
if len(keys) == 0:
raise OptionError(f"No such keys(s) for {pat=}")
if len(keys) > 1 and len(pat) < 4 and pat != "all":
raise ValueError(
"You must specify at least 4 characters when "
"resetting multiple keys, use the special keyword "
'"all" to reset all the options to their default value'
)
for k in keys:
set_option(k, _registered_options[k].defval)
def get_default_val(pat: str) -> Any:
key = _get_single_key(pat)
opt = _get_registered_option(key)
assert opt is not None
return opt.defval
class DictWrapper:
"""provide attribute-style access to a nested dict"""View on GitHub (pinned to 71959b8cb9)
Solutions
- Use a longer, unambiguous pattern (>=4 chars), e.g. pd.reset_option('display').
- Use the fully-qualified key to reset a single option.
- Use pd.reset_option('all') if you genuinely want to reset every option.
Example fix
# before
pd.reset_option('di') # ValueError: You must specify at least 4 characters...
# after
pd.reset_option('display') Defensive patterns
Strategy: validation
Validate before calling
def safe_reset(pat: str) -> None:
import pandas._config.config as cf
keys = cf._select_options(pat)
if len(keys) > 1 and len(pat) < 4 and pat != 'all':
raise ValueError(f'Pattern {pat!r} too short; use a longer prefix or "all"')
pd.reset_option(pat) Try / catch
try:
pd.reset_option(pat)
except ValueError as e:
if 'at least 4 characters' in str(e):
pd.reset_option('all') # or pick a longer prefix Prevention
- Never use sub-4-char patterns for batch resets.
- Reset whole namespaces via the namespace name (>=4 chars) where possible.
- Document the 'all' escape hatch for users who want a full reset.
When it happens
Trigger: pd.reset_option('di') or pd.reset_option('mode') where several keys match and the pattern is under 4 chars.
Common situations: Trying to batch-reset a namespace using a short prefix without realizing how broad the match is.
Related errors
- No such keys(s): {pat!r}
- Pattern matched multiple keys
- Must provide an even number of non-keyword arguments
- No such keys(s) for {pat=}
- You can only set the value of existing options
AI-assisted analysis of pandas-dev/pandas@71959b8cb9 (2026-08-07).
Data as JSON: /api/errors/6df38e80972c6d19.
Report an issue: GitHub.